Mac Studio
Geekbench AI Score
10903
Single Precision Score
12168
Half Precision Score
11417
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:19 PM |
| Views | 9 |
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% |
4414
820.9 IPS |
|
|
Image Classification (HP)
|
100% |
4476
832.4 IPS |
|
|
Image Classification (Q)
|
96% |
3980
743.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10076
163.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9956
161.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9494
153.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47324
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
50979
59.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
48866
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4619
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
4919
390.2 IPS |
|
|
Object Detection (Q)
|
92% |
4531
361.7 IPS |
|
|
Face Detection (SP)
|
100% |
18198
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
18845
223.9 IPS |
|
|
Face Detection (Q)
|
100% |
16174
192.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23584
181.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24762
190.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
22667
177.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80011
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
96532
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
94432
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15861
585.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16293
601.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14754
544.8 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2198
38.0 IPS |
