MacBook Pro (16-inch Late 2019)
Geekbench AI Score
810
Single Precision Score
699
Half Precision Score
484
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | January 05 2025 04:52 PM |
| Views | 2 |
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 (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% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
96% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2672
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1738
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
1378
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
92% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.81 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1203
9.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.47 IPS |
|
|
Depth Estimation (Q)
|
86% |
663
5.17 IPS |
|
|
Style Transfer (SP)
|
100% |
3966
5.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3495
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2583
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
453
605.1 IPS |
|
|
Text Classification (HP)
|
100% |
446
594.9 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.8 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
98% |
529
9.13 IPS |
