MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
799
Single Precision Score
686
Half Precision Score
542
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | sfoskett |
| Upload Date | August 16 2024 09:06 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
99% |
294
54.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (Q)
|
100% |
269
4.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1749
2.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
1344
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1216
9.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
967
7.45 IPS |
|
|
Depth Estimation (Q)
|
97% |
1024
7.92 IPS |
|
|
Style Transfer (SP)
|
100% |
3871
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3375
4.34 IPS |
|
|
Style Transfer (Q)
|
100% |
3355
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
508
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
414
553.1 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.6 IPS |
|
|
Text Classification (Q)
|
93% |
417
559.9 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (Q)
|
98% |
508
8.78 IPS |
