Mac Studio
Geekbench AI Score
3331
Single Precision Score
13941
Half Precision Score
13864
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Renegade937 |
| Upload Date | January 26 2026 08:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.8 IPS |
|
|
Image Classification (HP)
|
100% |
5573
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5429
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8720
141.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9186
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9617
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68884
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65534
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
6479
515.4 IPS |
|
|
Object Detection (Q)
|
91% |
6169
492.9 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
12623
150.0 IPS |
|
|
Face Detection (Q)
|
100% |
12376
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5219
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44950
346.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
45693
357.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20704
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116550
149.8 IPS |
|
|
Style Transfer (Q)
|
96% |
110034
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22845
843.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23915
883.1 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3606
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2810
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2447
42.3 IPS |
