Mac Studio
Geekbench AI Score
3692
Single Precision Score
5799
Half Precision Score
4684
Quantized Score
Geekbench AI 1.4.0-Beta1 Pro for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 04:15 PM |
| Views | 10 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11140
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21768
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16881
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.6 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
3043
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10293
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7080
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21974
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32846
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26919
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5936
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4066
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4719
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4716
81.5 IPS |
