Mac Studio (2023)
Geekbench AI Score
15076
Single Precision Score
16136
Half Precision Score
14505
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | February 10 2025 02:12 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6933
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6841
1.27 KIPS |
|
|
Image Classification (Q)
|
97% |
6011
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13936
225.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13672
221.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13382
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
83476
97.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
87427
102.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
81885
96.0 IPS |
|
|
Object Detection (SP)
|
100% |
6368
505.1 IPS |
|
|
Object Detection (HP)
|
100% |
6718
532.9 IPS |
|
|
Object Detection (Q)
|
91% |
5913
472.5 IPS |
|
|
Face Detection (SP)
|
100% |
28308
336.4 IPS |
|
|
Face Detection (HP)
|
100% |
28675
340.7 IPS |
|
|
Face Detection (Q)
|
100% |
21226
252.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33349
256.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33804
260.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
28790
225.0 IPS |
|
|
Style Transfer (SP)
|
100% |
135827
174.6 IPS |
|
|
Style Transfer (HP)
|
100% |
153326
197.1 IPS |
|
|
Style Transfer (Q)
|
96% |
142875
184.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20118
742.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20634
761.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16854
622.3 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1808
31.2 IPS |
