Mac Studio
Geekbench AI Score
2261
Single Precision Score
12968
Half Precision Score
12894
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | September 06 2024 02:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
972
180.7 IPS |
|
|
Image Classification (HP)
|
100% |
7336
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
7705
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3879
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10256
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70033
81.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
66310
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1162
92.2 IPS |
|
|
Object Detection (HP)
|
99% |
7762
617.4 IPS |
|
|
Object Detection (Q)
|
93% |
7368
587.9 IPS |
|
|
Face Detection (SP)
|
100% |
2072
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
11568
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
12330
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3675
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47397
365.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
50747
392.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12546
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119225
153.3 IPS |
|
|
Style Transfer (Q)
|
100% |
124884
160.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2745
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19146
707.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23429
868.0 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2466
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1928
33.3 IPS |
