Mac Studio
Geekbench AI Score
3688
Single Precision Score
16589
Half Precision Score
16454
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:27 PM |
| Views | 10 |
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% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
7016
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6611
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9703
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10304
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11240
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71158
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66894
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
8045
639.9 IPS |
|
|
Object Detection (Q)
|
91% |
7542
602.6 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
16334
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
15202
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51961
400.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
54153
423.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21927
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121223
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116847
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4301
158.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26124
964.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28368
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3858
66.7 IPS |
