MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
1869
Single Precision Score
1755
Half Precision Score
870
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | lylehm |
| Upload Date | August 16 2024 01:10 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 560X |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (Q)
|
99% |
896
167.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
100% |
291
4.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
7379
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
6172
7.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
1731
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
1462
115.9 IPS |
|
|
Object Detection (Q)
|
92% |
122
9.75 IPS |
|
|
Face Detection (SP)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (Q)
|
100% |
187
2.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
6026
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6328
48.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
6303
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14501
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14545
18.7 IPS |
|
|
Style Transfer (Q)
|
100% |
14214
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2918
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3170
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3111
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.3 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.5 IPS |
|
|
Text Classification (Q)
|
93% |
317
425.3 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (Q)
|
98% |
276
4.77 IPS |
