Mac Studio
Geekbench AI Score
3670
Single Precision Score
16590
Half Precision Score
16498
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 07:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
6918
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6611
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9769
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10445
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10977
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71569
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67975
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
8045
640.0 IPS |
|
|
Object Detection (Q)
|
91% |
7546
602.9 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
16339
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
15152
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51924
400.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
54259
424.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21983
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121060
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116921
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25945
958.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28114
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3765
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3875
67.0 IPS |
