Mac Studio (2023)
Geekbench AI Score
16361
Single Precision Score
18086
Half Precision Score
16811
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | January 17 2026 03:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6926
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7000
1.30 KIPS |
|
|
Image Classification (Q)
|
94% |
6212
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16174
262.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15807
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15079
244.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
83338
97.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
90492
105.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
88581
103.8 IPS |
|
|
Object Detection (SP)
|
100% |
6456
512.1 IPS |
|
|
Object Detection (HP)
|
100% |
6769
537.0 IPS |
|
|
Object Detection (Q)
|
90% |
6245
499.3 IPS |
|
|
Face Detection (SP)
|
100% |
29633
352.1 IPS |
|
|
Face Detection (HP)
|
100% |
30774
365.7 IPS |
|
|
Face Detection (Q)
|
100% |
25875
307.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33762
260.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35394
272.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
31936
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
136718
175.8 IPS |
|
|
Style Transfer (HP)
|
100% |
156130
200.7 IPS |
|
|
Style Transfer (Q)
|
96% |
152400
196.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20361
751.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23242
858.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20429
754.3 IPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3413
59.0 IPS |
