Mac Studio (2023)
Geekbench AI Score
4137
Single Precision Score
27659
Half Precision Score
30964
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rinsxi |
| Upload Date | November 10 2024 05:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
14372
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
16893
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19656
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24219
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12679
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
105991
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104654
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
99% |
15556
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17107
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
35919
426.8 IPS |
|
|
Face Detection (Q)
|
100% |
45697
543.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6351
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87759
676.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108976
851.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24484
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203327
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
191895
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42230
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49146
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4579
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5191
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5937
102.6 IPS |
