Mac Studio M2 Max 32 GB/512 HD Mac Studio (2023)
Geekbench AI Score
14500
Single Precision Score
15910
Half Precision Score
14887
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | July 21 2025 11:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6257
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6348
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5957
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13494
218.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13387
217.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12885
208.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
61623
71.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
65688
76.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
63254
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
6042
479.3 IPS |
|
|
Object Detection (HP)
|
100% |
6310
500.5 IPS |
|
|
Object Detection (Q)
|
92% |
5868
468.4 IPS |
|
|
Face Detection (SP)
|
100% |
24752
294.1 IPS |
|
|
Face Detection (HP)
|
100% |
25348
301.2 IPS |
|
|
Face Detection (Q)
|
100% |
21928
260.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28646
220.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29616
228.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
27257
212.9 IPS |
|
|
Style Transfer (SP)
|
100% |
114432
147.1 IPS |
|
|
Style Transfer (HP)
|
100% |
128864
165.7 IPS |
|
|
Style Transfer (Q)
|
96% |
126059
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19701
727.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20678
763.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18352
677.6 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3321
57.4 IPS |
