Mac17,6
Geekbench AI Score
5434
Single Precision Score
47043
Half Precision Score
63647
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mnin |
| Upload Date | March 25 2026 09:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2362
439.2 IPS |
|
|
Image Classification (HP)
|
100% |
20135
3.74 KIPS |
|
|
Image Classification (Q)
|
97% |
25018
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26059
422.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
37583
609.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
183418
214.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
338840
397.1 IPS |
|
|
Object Detection (SP)
|
100% |
2925
232.0 IPS |
|
|
Object Detection (HP)
|
100% |
22498
1.78 KIPS |
|
|
Object Detection (Q)
|
89% |
30084
2.41 KIPS |
|
|
Face Detection (SP)
|
100% |
5686
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
51037
606.4 IPS |
|
|
Face Detection (Q)
|
100% |
79943
949.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9232
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
139589
1.08 KIPS |
|
|
Depth Estimation (Q)
|
85% |
210718
1.65 KIPS |
|
|
Style Transfer (SP)
|
100% |
25241
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
291674
375.0 IPS |
|
|
Style Transfer (Q)
|
96% |
371416
479.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67104
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98947
3.65 KIPS |
|
|
Text Classification (SP)
|
99% |
5883
7.85 KIPS |
|
|
Text Classification (HP)
|
99% |
9402
12.5 KIPS |
|
|
Text Classification (Q)
|
93% |
9412
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
2865
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
18703
322.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19534
337.6 IPS |
