Mac Studio
Geekbench AI Score
3750
Single Precision Score
16332
Half Precision Score
16398
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | March 13 2025 04:33 AM |
| Views | 7 |
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% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
7027
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6728
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9871
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10465
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10999
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70655
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66956
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
7969
633.9 IPS |
|
|
Object Detection (Q)
|
91% |
7393
590.7 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
14437
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
15098
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5899
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51230
394.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53221
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22174
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120072
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
117183
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26087
963.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28066
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3848
66.5 IPS |
