MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4168
Single Precision Score
7053
Half Precision Score
5704
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | May 26 2025 01:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1582
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.3 IPS |
|
|
Image Classification (Q)
|
96% |
1963
366.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3274
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9027
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17453
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14984
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
97% |
3166
252.0 IPS |
|
|
Object Detection (Q)
|
94% |
2297
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3749
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3933
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7151
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12690
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8912
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22337
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34081
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28109
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5363
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5094
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4972
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7728
133.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7713
133.3 IPS |
