MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4171
Single Precision Score
28087
Half Precision Score
31495
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | zinu |
| Upload Date | October 12 2024 04:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
16152
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
19709
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16490
267.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19550
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8942
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122833
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
120425
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
17555
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20112
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
38831
461.4 IPS |
|
|
Face Detection (Q)
|
100% |
50333
598.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7278
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96844
746.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122971
961.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22413
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
225878
290.4 IPS |
|
|
Style Transfer (Q)
|
96% |
218201
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46963
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57813
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4885
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4851
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3606
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2717
47.0 IPS |
