Mac Studio
Geekbench AI Score
3685
Single Precision Score
16495
Half Precision Score
16406
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | August 04 2025 08:31 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
6894
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6550
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9801
158.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10441
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11005
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71163
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66988
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
7968
633.8 IPS |
|
|
Object Detection (Q)
|
91% |
7479
597.6 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16309
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
15150
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51002
392.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53647
419.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21969
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120495
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116659
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25809
953.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28026
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3877
67.0 IPS |
