Mac Studio
Geekbench AI Score
9915
Single Precision Score
10898
Half Precision Score
9742
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | March 18 2025 12:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4455
828.4 IPS |
|
|
Image Classification (HP)
|
100% |
4471
831.5 IPS |
|
|
Image Classification (Q)
|
97% |
3714
693.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8662
140.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8583
139.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8499
137.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47250
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49359
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45736
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
4147
329.0 IPS |
|
|
Object Detection (HP)
|
100% |
4701
372.9 IPS |
|
|
Object Detection (Q)
|
91% |
4300
343.6 IPS |
|
|
Face Detection (SP)
|
100% |
18274
217.1 IPS |
|
|
Face Detection (HP)
|
100% |
18740
222.7 IPS |
|
|
Face Detection (Q)
|
100% |
13493
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23446
180.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25033
192.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20615
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80081
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94547
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
89076
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15835
584.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15702
579.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12371
456.8 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
