MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10400
Single Precision Score
12080
Half Precision Score
10547
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pythagoras |
| Upload Date | October 27 2024 02:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
5361
997.1 IPS |
|
|
Image Classification (HP)
|
100% |
6010
1.12 KIPS |
|
|
Image Classification (Q)
|
97% |
4874
909.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6879
111.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8580
139.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8866
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34810
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36727
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34844
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
5438
431.3 IPS |
|
|
Object Detection (HP)
|
100% |
5813
461.1 IPS |
|
|
Object Detection (Q)
|
91% |
4878
389.8 IPS |
|
|
Face Detection (SP)
|
100% |
15837
188.2 IPS |
|
|
Face Detection (HP)
|
100% |
19133
227.3 IPS |
|
|
Face Detection (Q)
|
100% |
14364
170.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22543
173.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24372
187.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20873
163.2 IPS |
|
|
Style Transfer (SP)
|
100% |
76198
98.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86428
111.1 IPS |
|
|
Style Transfer (Q)
|
96% |
80729
104.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13681
505.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14693
542.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11251
415.5 IPS |
|
|
Text Classification (SP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4732
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1801
31.1 IPS |
