Mac Studio (2023)
Geekbench AI Score
15143
Single Precision Score
16546
Half Precision Score
15460
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Solomon357 |
| Upload Date | December 11 2025 11:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
6719
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6834
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6154
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13940
226.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13750
222.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13316
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
62234
72.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
66259
77.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
64097
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
6180
490.2 IPS |
|
|
Object Detection (HP)
|
100% |
6450
511.7 IPS |
|
|
Object Detection (Q)
|
92% |
6029
481.2 IPS |
|
|
Face Detection (SP)
|
100% |
25629
304.5 IPS |
|
|
Face Detection (HP)
|
100% |
26174
311.0 IPS |
|
|
Face Detection (Q)
|
100% |
22806
271.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28833
222.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30162
232.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
27315
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
114851
147.6 IPS |
|
|
Style Transfer (HP)
|
100% |
131224
168.7 IPS |
|
|
Style Transfer (Q)
|
96% |
127060
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20602
760.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21185
782.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18701
690.6 IPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4287
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3882
67.1 IPS |
