MacBook Pro (16-inch Late 2019)
Geekbench AI Score
683
Single Precision Score
512
Half Precision Score
364
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | jensd |
| Upload Date | March 10 2025 02:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
197
3.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
593
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
92% |
177
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
678
8.05 IPS |
|
|
Face Detection (HP)
|
100% |
507
6.02 IPS |
|
|
Face Detection (Q)
|
100% |
236
2.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1072
8.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
85% |
587
4.59 IPS |
|
|
Style Transfer (SP)
|
100% |
3351
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2494
3.21 IPS |
|
|
Style Transfer (Q)
|
96% |
1830
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
321
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.6 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.4 IPS |
|
|
Text Classification (Q)
|
93% |
403
540.3 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
98% |
395
6.82 IPS |
