Mac17,6
Geekbench AI Score
5128
Single Precision Score
44910
Half Precision Score
58687
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | heyjoegfx |
| Upload Date | March 18 2026 12:09 AM |
| Views | 5 |
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 | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| 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% |
2368
440.4 IPS |
|
|
Image Classification (HP)
|
100% |
21468
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
24293
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26056
422.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
36832
597.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11708
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
183692
214.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
336368
394.2 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.2 IPS |
|
|
Object Detection (HP)
|
100% |
22808
1.81 KIPS |
|
|
Object Detection (Q)
|
91% |
27294
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
49888
592.8 IPS |
|
|
Face Detection (Q)
|
100% |
69974
831.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9485
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
139760
1.08 KIPS |
|
|
Depth Estimation (Q)
|
85% |
206972
1.62 KIPS |
|
|
Style Transfer (SP)
|
100% |
27483
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
288119
370.4 IPS |
|
|
Style Transfer (Q)
|
96% |
397046
512.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67232
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100006
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18628
320.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18326
316.7 IPS |
