MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4146
Single Precision Score
6878
Half Precision Score
5581
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | luemonkey123 |
| Upload Date | December 21 2024 02:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1584
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.5 IPS |
|
|
Image Classification (Q)
|
96% |
1942
362.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3333
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8852
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17246
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14856
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3206
255.2 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
6668
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7185
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13367
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9152
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22207
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32730
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27321
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4245
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4928
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4928
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6369
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6348
109.7 IPS |
