MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4184
Single Precision Score
31657
Half Precision Score
35378
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | opinali |
| Upload Date | May 01 2025 03:35 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
17073
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
19636
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22864
370.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27932
452.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9021
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123382
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121174
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
18784
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
20905
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3777
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
40213
477.8 IPS |
|
|
Face Detection (Q)
|
100% |
53045
630.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7126
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98714
760.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
123877
968.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22301
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229009
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
223926
289.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5344
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47965
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56135
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5149
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4937
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5199
89.9 IPS |
