Mac Studio (2023)
Geekbench AI Score
4129
Single Precision Score
6702
Half Precision Score
5381
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 02:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2269
422.0 IPS |
|
|
Image Classification (Q)
|
96% |
1689
315.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2950
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12675
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25800
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19841
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
2648
210.8 IPS |
|
|
Object Detection (Q)
|
94% |
1995
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5802
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6287
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11464
88.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8030
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25158
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37855
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30392
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5044
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6408
236.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4533
167.4 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4167
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4088
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4363
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6983
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6551
113.2 IPS |
