Mac Studio
Geekbench AI Score
3757
Single Precision Score
16409
Half Precision Score
16218
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 24 2024 08:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6697
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6501
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9759
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10338
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11204
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70676
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66909
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
7923
630.3 IPS |
|
|
Object Detection (Q)
|
91% |
7426
593.4 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
16396
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
14908
177.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5928
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51037
393.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53026
414.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22448
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120358
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116419
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25864
955.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27870
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3743
64.7 IPS |
