Mac17,7
Geekbench AI Score
5135
Single Precision Score
43903
Half Precision Score
57952
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | virtuatony95 |
| Upload Date | March 20 2026 03:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2390
444.4 IPS |
|
|
Image Classification (HP)
|
100% |
19877
3.70 KIPS |
|
|
Image Classification (Q)
|
97% |
23273
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26140
423.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
36104
585.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11734
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
182944
213.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
336227
394.1 IPS |
|
|
Object Detection (SP)
|
100% |
2899
230.0 IPS |
|
|
Object Detection (HP)
|
100% |
22041
1.75 KIPS |
|
|
Object Detection (Q)
|
91% |
26894
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
5350
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
49401
587.0 IPS |
|
|
Face Detection (Q)
|
100% |
70795
841.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9526
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
136561
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
209284
1.64 KIPS |
|
|
Style Transfer (SP)
|
100% |
27237
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
287815
370.0 IPS |
|
|
Style Transfer (Q)
|
96% |
396123
511.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6038
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65749
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98277
3.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5362
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18551
319.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18347
317.1 IPS |
