MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4139
Single Precision Score
30753
Half Precision Score
35298
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | 15a |
| Upload Date | May 21 2025 03:45 AM |
| Views | 5 |
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% |
1603
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
16852
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
20019
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22656
367.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27986
453.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9012
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120028
140.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120433
141.2 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
17821
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20776
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
37428
444.7 IPS |
|
|
Face Detection (Q)
|
100% |
51759
615.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7144
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97158
748.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
122301
956.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22306
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226894
291.7 IPS |
|
|
Style Transfer (Q)
|
96% |
221041
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45517
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58200
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5174
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5085
87.9 IPS |
