Mac Studio (2023)
Geekbench AI Score
4187
Single Precision Score
27276
Half Precision Score
30547
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 11 2025 01:23 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.35 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
14691
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
17352
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20038
324.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24977
404.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13024
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
107697
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105599
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
99% |
16121
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17809
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
35213
418.4 IPS |
|
|
Face Detection (Q)
|
100% |
45951
546.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6477
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89279
687.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111958
874.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25030
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208385
267.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192962
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42745
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51788
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3950
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4451
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4015
69.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4275
73.9 IPS |
