Mac Studio (2023)
Geekbench AI Score
4179
Single Precision Score
6719
Half Precision Score
5409
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 10 2025 04:24 AM |
| Views | 5 |
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 | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (Q)
|
96% |
1695
316.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2979
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12761
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25214
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19473
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
2668
212.4 IPS |
|
|
Object Detection (Q)
|
94% |
2018
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5890
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3502
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6310
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11301
87.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7889
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25060
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37883
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30671
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6364
235.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4527
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4456
76.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6997
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6782
117.2 IPS |
