Macbook Pro i9 8950HK 2,9 (15" Mid 2018) 32GB /512 SSD UHD 630 Radeon 560x Tomasz Kizny MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
677
Single Precision Score
562
Half Precision Score
400
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | konopek1971 |
| Upload Date | December 08 2024 01:52 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
206
3.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
2157
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1377
1.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
1089
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (HP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (Q)
|
100% |
273
3.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
1116
8.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
859
6.62 IPS |
|
|
Depth Estimation (Q)
|
86% |
583
4.55 IPS |
|
|
Style Transfer (SP)
|
100% |
2360
3.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2400
3.08 IPS |
|
|
Style Transfer (Q)
|
96% |
1993
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
327
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.0 IPS |
|
|
Text Classification (HP)
|
100% |
401
535.6 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.0 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (Q)
|
98% |
455
7.85 IPS |
