Mac Studio (2023)
Geekbench AI Score
2089
Single Precision Score
15155
Half Precision Score
16036
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | splifingate |
| Upload Date | August 18 2024 12:46 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1096
203.9 IPS |
|
|
Image Classification (HP)
|
100% |
8393
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
8778
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5143
83.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5164
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11306
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
93044
108.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
88315
103.6 IPS |
|
|
Object Detection (SP)
|
100% |
1189
94.3 IPS |
|
|
Object Detection (HP)
|
99% |
9627
765.8 IPS |
|
|
Object Detection (Q)
|
93% |
10396
829.5 IPS |
|
|
Face Detection (SP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
11805
140.3 IPS |
|
|
Face Detection (Q)
|
100% |
13870
164.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3644
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56043
431.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
60794
470.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13147
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145746
187.4 IPS |
|
|
Style Transfer (Q)
|
100% |
147476
189.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2184
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21025
776.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28204
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
370
493.9 IPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2045
35.3 IPS |
