Mac Studio
Geekbench AI Score
3686
Single Precision Score
5800
Half Precision Score
4690
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:44 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1486
277.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10976
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21518
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17133
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2292
182.5 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
4983
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
3108
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10407
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7108
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22000
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32221
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25990
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5893
217.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4074
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4828
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4807
83.1 IPS |
