MacBook Pro (16-inch Late 2019)
Geekbench AI Score
627
Single Precision Score
429
Half Precision Score
294
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Freade |
| Upload Date | October 20 2024 10:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
291
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.0 IPS |
|
|
Image Classification (Q)
|
96% |
118
22.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
452
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (Q)
|
92% |
138
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
549
6.53 IPS |
|
|
Face Detection (Q)
|
100% |
217
2.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
922
7.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
85% |
444
3.47 IPS |
|
|
Style Transfer (SP)
|
100% |
2713
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1749
2.25 IPS |
|
|
Style Transfer (Q)
|
96% |
1428
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
405
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
247
9.12 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.3 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.0 IPS |
|
|
Text Classification (Q)
|
93% |
274
367.4 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
98% |
396
6.84 IPS |
