Mac Studio
Geekbench AI Score
3761
Single Precision Score
16437
Half Precision Score
16312
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | March 18 2025 12:13 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
6938
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6550
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9758
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10409
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11147
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70709
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65819
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
7934
631.1 IPS |
|
|
Object Detection (Q)
|
91% |
7411
592.2 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
16102
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
14905
177.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5932
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51273
395.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53576
418.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22362
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120614
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116790
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4328
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25863
955.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27994
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3886
67.2 IPS |
