Mac Studio
Geekbench AI Score
11036
Single Precision Score
12183
Half Precision Score
11506
Quantized Score
Geekbench AI 1.4.0-Beta1 Pro for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 06 2025 07:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4454
828.2 IPS |
|
|
Image Classification (HP)
|
100% |
4438
825.4 IPS |
|
|
Image Classification (Q)
|
96% |
4253
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10063
163.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10085
163.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9505
154.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
47553
55.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51191
59.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
49041
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
4740
376.0 IPS |
|
|
Object Detection (HP)
|
100% |
4998
396.5 IPS |
|
|
Object Detection (Q)
|
92% |
4642
370.6 IPS |
|
|
Face Detection (SP)
|
100% |
18496
219.8 IPS |
|
|
Face Detection (HP)
|
100% |
18823
223.7 IPS |
|
|
Face Detection (Q)
|
100% |
16515
196.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23593
181.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24826
191.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
22664
177.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80009
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96438
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
94604
122.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15927
588.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16388
605.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14555
537.4 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2121
36.6 IPS |
