Mac Studio
Geekbench AI Score
3702
Single Precision Score
16541
Half Precision Score
16598
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 11 2025 11:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1339
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6792
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6704
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9734
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10970
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71604
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67953
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
8101
644.4 IPS |
|
|
Object Detection (Q)
|
91% |
7623
609.1 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16302
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
15339
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52062
401.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
54474
425.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21925
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121358
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116866
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26276
970.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28596
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3901
67.4 IPS |
