Mac Studio (2023)
Geekbench AI Score
17349
Single Precision Score
19294
Half Precision Score
18204
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mfc1992 |
| Upload Date | February 24 2026 03:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6978
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7138
1.33 KIPS |
|
|
Image Classification (Q)
|
94% |
6759
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16288
264.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15980
259.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15102
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
84437
98.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
90547
105.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
87593
102.6 IPS |
|
|
Object Detection (SP)
|
100% |
6541
518.8 IPS |
|
|
Object Detection (HP)
|
100% |
6950
551.3 IPS |
|
|
Object Detection (Q)
|
91% |
6644
531.0 IPS |
|
|
Face Detection (SP)
|
100% |
29823
354.4 IPS |
|
|
Face Detection (HP)
|
100% |
31021
368.6 IPS |
|
|
Face Detection (Q)
|
100% |
28015
332.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34587
266.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35404
272.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
33602
262.7 IPS |
|
|
Style Transfer (SP)
|
100% |
137735
177.1 IPS |
|
|
Style Transfer (HP)
|
100% |
156933
201.7 IPS |
|
|
Style Transfer (Q)
|
96% |
152813
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20663
763.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24641
909.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21252
784.7 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4322
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5504
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5548
95.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5093
88.0 IPS |
