MacBook Pro (14-inch, 2023)
Geekbench AI Score
4162
Single Precision Score
6686
Half Precision Score
5702
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 31 2024 04:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.4 IPS |
|
|
Image Classification (Q)
|
99% |
2272
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2672
43.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2655
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13035
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24515
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18158
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
97% |
2700
215.0 IPS |
|
|
Object Detection (Q)
|
94% |
2019
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5850
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3422
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6223
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12180
94.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
12091
93.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24710
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38827
49.9 IPS |
|
|
Style Transfer (Q)
|
100% |
37794
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4370
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6272
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6187
106.9 IPS |
