Mac17,6
Geekbench AI Score
5088
Single Precision Score
44307
Half Precision Score
59003
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | rdwatson |
| Upload Date | March 23 2026 06:54 PM |
| Views | 8 |
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 | Mac17,6 |
| 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% |
2371
441.0 IPS |
|
|
Image Classification (HP)
|
100% |
19535
3.63 KIPS |
|
|
Image Classification (Q)
|
97% |
24510
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26012
421.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
36155
586.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10967
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
183324
213.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
336644
394.6 IPS |
|
|
Object Detection (SP)
|
100% |
2852
226.2 IPS |
|
|
Object Detection (HP)
|
100% |
23423
1.86 KIPS |
|
|
Object Detection (Q)
|
91% |
27574
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
5335
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
49529
588.5 IPS |
|
|
Face Detection (Q)
|
100% |
70612
839.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9472
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
137597
1.06 KIPS |
|
|
Depth Estimation (Q)
|
85% |
210043
1.64 KIPS |
|
|
Style Transfer (SP)
|
100% |
27332
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
287780
369.9 IPS |
|
|
Style Transfer (Q)
|
96% |
398525
514.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66030
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100909
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
18520
319.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19047
329.2 IPS |
