MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
772
Single Precision Score
575
Half Precision Score
409
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Tom34772 |
| Upload Date | December 04 2024 02:34 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
401
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
96% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
265
4.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
645
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
574
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1177
9.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
973
7.50 IPS |
|
|
Depth Estimation (Q)
|
85% |
637
4.98 IPS |
|
|
Style Transfer (SP)
|
100% |
3049
3.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2391
3.07 IPS |
|
|
Style Transfer (Q)
|
96% |
1889
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
342
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.6 IPS |
|
|
Text Classification (HP)
|
100% |
430
573.9 IPS |
|
|
Text Classification (Q)
|
93% |
427
572.6 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
98% |
474
8.19 IPS |
