MacBook Pro (16-inch Late 2019)
Geekbench AI Score
653
Single Precision Score
85
Half Precision Score
67
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | March 20 2025 12:07 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| 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 | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
465
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (HP)
|
100% |
590
7.01 IPS |
|
|
Face Detection (Q)
|
100% |
226
2.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
986
7.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
726
5.59 IPS |
|
|
Depth Estimation (Q)
|
85% |
451
3.53 IPS |
|
|
Style Transfer (SP)
|
100% |
3080
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1962
2.52 IPS |
|
|
Style Transfer (Q)
|
96% |
1495
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
250
9.22 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.1 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.5 IPS |
|
|
Text Classification (Q)
|
93% |
280
375.1 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
98% |
421
7.27 IPS |
