MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8896
Single Precision Score
9839
Half Precision Score
8630
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | KwisatzJim |
| Upload Date | August 17 2024 12:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
5330
991.2 IPS |
|
|
Image Classification (HP)
|
100% |
5437
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
4768
889.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7011
113.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8281
134.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8193
132.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34806
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36802
42.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33540
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
5351
424.4 IPS |
|
|
Object Detection (HP)
|
100% |
5556
440.7 IPS |
|
|
Object Detection (Q)
|
92% |
4462
356.2 IPS |
|
|
Face Detection (SP)
|
100% |
14967
177.8 IPS |
|
|
Face Detection (HP)
|
100% |
18017
214.1 IPS |
|
|
Face Detection (Q)
|
100% |
12921
153.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22742
175.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24581
189.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
24588
190.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77205
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86477
111.2 IPS |
|
|
Style Transfer (Q)
|
100% |
85278
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14002
517.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14953
552.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10991
407.2 IPS |
|
|
Text Classification (SP)
|
100% |
701
935.1 IPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
93% |
685
918.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1922
33.2 IPS |
