Mac Studio (2025)
Geekbench AI Score
6226
Single Precision Score
40269
Half Precision Score
55279
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | April 15 2026 05:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2203
409.7 IPS |
|
|
Image Classification (HP)
|
100% |
18878
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
24661
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23158
375.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33881
549.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16312
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123131
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233056
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2821
223.8 IPS |
|
|
Object Detection (HP)
|
100% |
21209
1.68 KIPS |
|
|
Object Detection (Q)
|
89% |
26183
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
5601
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
46963
558.0 IPS |
|
|
Face Detection (Q)
|
100% |
71087
844.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9247
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109209
841.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
185626
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
30844
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235568
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
292066
376.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5554
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49965
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85135
3.14 KIPS |
|
|
Text Classification (SP)
|
99% |
5876
7.84 KIPS |
|
|
Text Classification (HP)
|
99% |
9372
12.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9093
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
6435
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17360
299.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17517
302.7 IPS |
