Mac Studio (2023)
Geekbench AI Score
3912
Single Precision Score
26559
Half Precision Score
29330
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 07 2026 05:38 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.26 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
13978
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
16402
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19559
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24043
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12677
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106886
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105181
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
16713
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
17304
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
32770
389.4 IPS |
|
|
Face Detection (Q)
|
100% |
40981
486.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87351
673.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109373
854.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23972
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204346
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
193679
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41390
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49764
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3877
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4191
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4023
69.5 IPS |
