Mac Studio
Geekbench AI Score
3796
Single Precision Score
16773
Half Precision Score
16583
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 04:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
7137
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6792
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9852
159.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11309
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
71216
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66961
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
8117
645.7 IPS |
|
|
Object Detection (Q)
|
91% |
7615
608.5 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
16315
193.9 IPS |
|
|
Face Detection (Q)
|
100% |
15303
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51717
398.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54221
423.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22462
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120939
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116245
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26215
968.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28319
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3995
69.0 IPS |
