Mac Studio (2025)
Geekbench AI Score
22518
Single Precision Score
24859
Half Precision Score
23494
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | April 15 2026 05:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| Model | Mac Studio (2025) |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8647
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
8944
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
9026
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20032
324.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21163
343.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20117
326.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
77015
89.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
87307
101.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
84317
98.8 IPS |
|
|
Object Detection (SP)
|
100% |
8586
681.0 IPS |
|
|
Object Detection (HP)
|
100% |
9260
734.5 IPS |
|
|
Object Detection (Q)
|
91% |
8320
665.0 IPS |
|
|
Face Detection (SP)
|
100% |
36448
433.1 IPS |
|
|
Face Detection (HP)
|
100% |
39178
465.5 IPS |
|
|
Face Detection (Q)
|
100% |
36918
438.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41713
321.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44353
341.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40764
319.0 IPS |
|
|
Style Transfer (SP)
|
100% |
182698
234.9 IPS |
|
|
Style Transfer (HP)
|
100% |
198118
254.7 IPS |
|
|
Style Transfer (Q)
|
96% |
193863
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24788
915.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24877
918.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22232
820.9 IPS |
|
|
Text Classification (SP)
|
100% |
6028
8.05 KIPS |
|
|
Text Classification (HP)
|
100% |
9051
12.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9019
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
7052
121.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7600
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6878
118.9 IPS |
