Mac Studio
Geekbench AI Score
2821
Single Precision Score
4305
Half Precision Score
3569
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | September 06 2024 02:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1641
305.2 IPS |
|
|
Image Classification (Q)
|
99% |
1636
305.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1235
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13216
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11263
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
1919
152.8 IPS |
|
|
Object Detection (Q)
|
94% |
1486
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (Q)
|
100% |
2664
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5095
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7943
61.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3904
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15358
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24240
31.2 IPS |
|
|
Style Transfer (Q)
|
100% |
24228
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3329
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3632
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3602
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3281
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3283
56.7 IPS |
