MacBook Pro (16-inch Late 2019)
Geekbench AI Score
864
Single Precision Score
629
Half Precision Score
432
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | danlopex |
| Upload Date | November 15 2024 08:08 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
438
81.4 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (Q)
|
96% |
175
32.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
269
4.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
668
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
92% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.31 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1412
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1083
8.35 IPS |
|
|
Depth Estimation (Q)
|
85% |
676
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
4092
5.26 IPS |
|
|
Style Transfer (HP)
|
100% |
2801
3.60 IPS |
|
|
Style Transfer (Q)
|
96% |
2204
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
345
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.4 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.1 IPS |
|
|
Text Classification (Q)
|
93% |
426
571.7 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (Q)
|
98% |
533
9.22 IPS |
