Mac Studio
Geekbench AI Score
3701
Single Precision Score
16625
Half Precision Score
16510
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:10 PM |
| Views | 7 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
7003
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6606
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9791
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10454
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71241
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66468
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
8042
639.7 IPS |
|
|
Object Detection (Q)
|
91% |
7557
603.8 IPS |
|
|
Face Detection (SP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
16324
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
15222
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5838
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51946
400.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
54306
424.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21989
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120940
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117177
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4315
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25957
958.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28482
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4102
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3905
67.5 IPS |
