Mac Studio (2023)
Geekbench AI Score
2349
Single Precision Score
14903
Half Precision Score
16800
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | stanleyruppert |
| Upload Date | September 11 2024 02:52 AM |
| Views | 4 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1127
209.5 IPS |
|
|
Image Classification (HP)
|
100% |
7784
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
8555
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5147
83.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8688
140.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11184
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92765
108.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
87480
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.8 IPS |
|
|
Object Detection (HP)
|
99% |
9358
744.4 IPS |
|
|
Object Detection (Q)
|
93% |
10101
806.0 IPS |
|
|
Face Detection (SP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
11865
141.0 IPS |
|
|
Face Detection (Q)
|
100% |
13680
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3760
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56204
433.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
67783
529.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13244
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
146325
188.1 IPS |
|
|
Style Transfer (Q)
|
95% |
134440
173.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2451
90.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20598
760.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28258
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2033
35.1 IPS |
