Mac Studio
Geekbench AI Score
3736
Single Precision Score
5736
Half Precision Score
4720
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lagarto16 |
| Upload Date | January 02 2025 05:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (Q)
|
96% |
1470
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11115
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22193
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17552
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2346
186.8 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3054
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5870
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10820
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7438
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22325
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33464
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26031
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4396
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6429
237.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4041
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3185
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4894
84.6 IPS |
