Mac Studio (2023)
Geekbench AI Score
4185
Single Precision Score
6748
Half Precision Score
5310
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 21 2024 09:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2657
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2949
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13000
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24645
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19065
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
2004
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
5705
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3393
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6316
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12339
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8229
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24915
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39098
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30200
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5120
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4475
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6318
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6366
110.0 IPS |
