Mac Studio
Geekbench AI Score
8906
Single Precision Score
9773
Half Precision Score
3002
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 28 2024 10:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
4624
860.0 IPS |
|
|
Image Classification (HP)
|
100% |
4595
854.5 IPS |
|
|
Image Classification (Q)
|
97% |
3529
658.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9167
148.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9384
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9036
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
55869
65.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
58882
68.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
51814
60.7 IPS |
|
|
Object Detection (SP)
|
100% |
4775
378.8 IPS |
|
|
Object Detection (HP)
|
100% |
4929
391.0 IPS |
|
|
Object Detection (Q)
|
92% |
3931
313.7 IPS |
|
|
Face Detection (SP)
|
100% |
17710
210.4 IPS |
|
|
Face Detection (HP)
|
100% |
18452
219.2 IPS |
|
|
Face Detection (Q)
|
100% |
13008
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25372
195.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26232
202.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
95294
122.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117861
151.5 IPS |
|
|
Style Transfer (Q)
|
96% |
107962
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16595
612.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17048
629.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12467
460.3 IPS |
|
|
Text Classification (SP)
|
100% |
331
442.0 IPS |
|
|
Text Classification (HP)
|
100% |
557
742.9 IPS |
|
|
Text Classification (Q)
|
93% |
464
623.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1130
19.5 IPS |
