Mac17,6
Geekbench AI Score
5300
Single Precision Score
9320
Half Precision Score
7275
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ryang |
| Upload Date | March 21 2026 01:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E243) |
| 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% |
2296
426.9 IPS |
|
|
Image Classification (HP)
|
100% |
3546
659.5 IPS |
|
|
Image Classification (Q)
|
94% |
2132
398.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4107
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9419
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19493
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16868
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2831
224.5 IPS |
|
|
Object Detection (HP)
|
98% |
4281
340.7 IPS |
|
|
Object Detection (Q)
|
88% |
2879
230.8 IPS |
|
|
Face Detection (SP)
|
100% |
5549
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
9773
116.1 IPS |
|
|
Face Detection (Q)
|
100% |
5312
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9143
70.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12143
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8313
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24603
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46294
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37032
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10492
387.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6246
230.6 IPS |
|
|
Text Classification (SP)
|
99% |
5635
7.52 KIPS |
|
|
Text Classification (HP)
|
99% |
10062
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9994
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
2778
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9574
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9570
165.4 IPS |
