Mac17,7
Geekbench AI Score
5139
Single Precision Score
44891
Half Precision Score
59808
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 12:25 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,7 |
| Model ID | Mac17,7 |
| Motherboard | Mac17,7 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2392
444.8 IPS |
|
|
Image Classification (HP)
|
100% |
21142
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
25138
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2600
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26423
428.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
38006
616.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11212
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
177333
206.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
340328
398.9 IPS |
|
|
Object Detection (SP)
|
100% |
2866
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
23792
1.89 KIPS |
|
|
Object Detection (Q)
|
91% |
28029
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
50406
598.9 IPS |
|
|
Face Detection (Q)
|
100% |
71258
846.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9486
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
140483
1.08 KIPS |
|
|
Depth Estimation (Q)
|
85% |
215936
1.69 KIPS |
|
|
Style Transfer (SP)
|
100% |
27496
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
287536
369.6 IPS |
|
|
Style Transfer (Q)
|
96% |
397028
512.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67265
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101215
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18575
320.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18908
326.8 IPS |
