MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4111
Single Precision Score
6855
Half Precision Score
5978
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Bonneville |
| Upload Date | January 29 2025 08:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1557
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
2750
511.5 IPS |
|
|
Image Classification (Q)
|
99% |
2736
510.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3008
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8683
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16926
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14430
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
97% |
3133
249.4 IPS |
|
|
Object Detection (Q)
|
94% |
2251
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6626
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3940
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7068
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13125
101.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13104
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21789
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32969
42.4 IPS |
|
|
Style Transfer (Q)
|
100% |
32879
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5936
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4204
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4881
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4845
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6312
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6310
109.0 IPS |
