MacBook Pro (16-inch Late 2019)
Geekbench AI Score
817
Single Precision Score
595
Half Precision Score
423
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | vanboquestaels |
| Upload Date | February 20 2025 09:47 AM |
| Views | 7 |
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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
96% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
258
4.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
2294
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
683
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
627
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
92% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (Q)
|
100% |
294
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
1307
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
85% |
664
5.19 IPS |
|
|
Style Transfer (SP)
|
100% |
3839
4.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2720
3.50 IPS |
|
|
Style Transfer (Q)
|
96% |
2163
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
361
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
441
589.1 IPS |
|
|
Text Classification (HP)
|
100% |
442
589.7 IPS |
|
|
Text Classification (Q)
|
93% |
435
583.9 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
98% |
494
8.53 IPS |
