MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
796
Single Precision Score
576
Half Precision Score
415
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Shaheer1211 |
| Upload Date | December 18 2024 02:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (Q)
|
96% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
213
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
568
0.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
612
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
92% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1326
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1045
8.05 IPS |
|
|
Depth Estimation (Q)
|
85% |
674
5.28 IPS |
|
|
Style Transfer (SP)
|
100% |
3802
4.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2576
3.31 IPS |
|
|
Style Transfer (Q)
|
96% |
2097
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
364
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.1 IPS |
|
|
Text Classification (HP)
|
100% |
439
586.1 IPS |
|
|
Text Classification (Q)
|
93% |
443
594.6 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
98% |
485
8.38 IPS |
