Mac Studio (2023)
Geekbench AI Score
4107
Single Precision Score
27083
Half Precision Score
30200
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | July 21 2025 11:26 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
14451
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
17263
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20150
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24852
402.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12903
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105903
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104677
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
99% |
15652
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17163
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
35159
417.8 IPS |
|
|
Face Detection (Q)
|
100% |
44948
534.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6141
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87017
670.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108921
851.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25219
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204613
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192775
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40957
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48947
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4090
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4119
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4334
74.9 IPS |
