Mac Studio
Geekbench AI Score
3647
Single Precision Score
5827
Half Precision Score
4671
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 08:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
96% |
1494
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10420
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21889
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17224
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2301
183.2 IPS |
|
|
Object Detection (Q)
|
94% |
1720
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
5095
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3079
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5772
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10191
78.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7064
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21995
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33723
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25964
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4045
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4777
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4735
81.8 IPS |
