Mac Studio
Geekbench AI Score
3668
Single Precision Score
5844
Half Precision Score
4695
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | michaldepta |
| Upload Date | September 09 2025 03:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.4 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10946
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22729
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16981
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2292
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5103
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
3027
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5737
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10265
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7170
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21795
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33626
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26173
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4047
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4758
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4814
83.2 IPS |
