Mac Studio (2023)
Geekbench AI Score
4182
Single Precision Score
26716
Half Precision Score
29745
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tim2o |
| Upload Date | January 07 2025 12:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
13974
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
17168
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19517
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24712
400.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13155
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106323
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104489
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
99% |
15425
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17019
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
34941
415.2 IPS |
|
|
Face Detection (Q)
|
100% |
41868
497.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6434
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87285
672.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108669
849.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24909
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203201
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191941
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41236
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48722
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4266
73.7 IPS |
