Mac Studio
Geekbench AI Score
12827
Single Precision Score
14115
Half Precision Score
13313
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 12:29 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
5130
954.0 IPS |
|
|
Image Classification (HP)
|
100% |
5106
949.6 IPS |
|
|
Image Classification (Q)
|
96% |
4745
886.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11622
188.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11957
193.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11373
184.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56766
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
60338
70.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57856
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
5265
417.6 IPS |
|
|
Object Detection (HP)
|
100% |
5327
422.5 IPS |
|
|
Object Detection (Q)
|
92% |
4963
396.1 IPS |
|
|
Face Detection (SP)
|
100% |
21570
256.3 IPS |
|
|
Face Detection (HP)
|
100% |
22103
262.6 IPS |
|
|
Face Detection (Q)
|
100% |
19177
227.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26235
202.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27227
209.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
24923
194.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96510
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120287
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
117335
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16892
623.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16759
618.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15183
560.6 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3277
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3282
56.7 IPS |
