MacBook Pro (14-inch, 2023)
Geekbench AI Score
8250
Single Precision Score
8288
Half Precision Score
7524
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andersliland |
| Upload Date | August 28 2024 04:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4787
890.2 IPS |
|
|
Image Classification (HP)
|
100% |
4828
897.9 IPS |
|
|
Image Classification (Q)
|
99% |
4271
796.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7190
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7158
116.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6957
112.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36715
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38784
45.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34927
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4545
360.5 IPS |
|
|
Object Detection (HP)
|
100% |
4612
365.8 IPS |
|
|
Object Detection (Q)
|
92% |
3802
303.5 IPS |
|
|
Face Detection (SP)
|
100% |
15209
180.7 IPS |
|
|
Face Detection (HP)
|
100% |
15951
189.5 IPS |
|
|
Face Detection (Q)
|
100% |
10669
126.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23721
182.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24206
186.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
24174
186.9 IPS |
|
|
Style Transfer (SP)
|
100% |
67874
87.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73544
94.5 IPS |
|
|
Style Transfer (Q)
|
100% |
73271
94.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13314
491.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13984
516.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10285
381.0 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
573
764.9 IPS |
|
|
Text Classification (Q)
|
93% |
634
851.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1196
20.7 IPS |
