MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4127
Single Precision Score
7042
Half Precision Score
5712
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | luispepe |
| Upload Date | September 06 2025 07:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1612
299.8 IPS |
|
|
Image Classification (HP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (Q)
|
96% |
1965
367.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3251
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17407
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14952
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3172
252.5 IPS |
|
|
Object Detection (Q)
|
94% |
2280
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
3657
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6612
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3968
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7132
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12713
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8898
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22260
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34081
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28127
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5235
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5832
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4344
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5184
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5095
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7700
133.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7731
133.6 IPS |
