Mac Studio (2023)
Geekbench AI Score
4182
Single Precision Score
27920
Half Precision Score
31162
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | January 17 2026 03:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
15075
2.80 KIPS |
|
|
Image Classification (Q)
|
96% |
17864
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20342
329.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25122
407.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12231
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107331
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105998
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
99% |
16680
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
18305
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
37775
448.8 IPS |
|
|
Face Detection (Q)
|
100% |
49418
587.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6264
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
89200
687.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111830
873.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26059
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206816
265.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194161
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45027
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52358
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4415
76.3 IPS |
