MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4218
Single Precision Score
7012
Half Precision Score
5639
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
2848
529.7 IPS |
|
|
Image Classification (Q)
|
96% |
1948
363.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8919
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17277
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14881
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3783
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
6746
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
4007
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7234
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13387
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9172
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22368
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33476
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27767
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5371
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5943
219.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4275
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4985
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4941
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6783
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6780
117.2 IPS |
