Mac Studio
Geekbench AI Score
3688
Single Precision Score
16517
Half Precision Score
16391
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | eli1stark |
| Upload Date | July 06 2025 06:44 PM |
| Views | 5 |
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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
6882
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6619
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9777
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10448
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10958
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70747
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66339
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
8014
637.5 IPS |
|
|
Object Detection (Q)
|
91% |
7503
599.5 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
16323
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
15167
180.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5727
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51836
399.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53409
417.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21968
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122147
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116737
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4303
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25876
955.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27868
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3885
67.1 IPS |
