Mac17,6
Geekbench AI Score
5454
Single Precision Score
47269
Half Precision Score
63511
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Xabla |
| Upload Date | March 28 2026 03:45 PM |
| Views | 3 |
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% |
2382
443.0 IPS |
|
|
Image Classification (HP)
|
100% |
20234
3.76 KIPS |
|
|
Image Classification (Q)
|
97% |
25283
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26236
425.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
37840
613.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10135
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
183562
214.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
338415
396.6 IPS |
|
|
Object Detection (SP)
|
100% |
2894
229.5 IPS |
|
|
Object Detection (HP)
|
100% |
22272
1.77 KIPS |
|
|
Object Detection (Q)
|
89% |
28603
2.29 KIPS |
|
|
Face Detection (SP)
|
100% |
5687
67.6 IPS |
|
|
Face Detection (HP)
|
100% |
50865
604.4 IPS |
|
|
Face Detection (Q)
|
100% |
77621
922.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9272
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
139652
1.08 KIPS |
|
|
Depth Estimation (Q)
|
85% |
216355
1.69 KIPS |
|
|
Style Transfer (SP)
|
100% |
25258
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
291590
374.8 IPS |
|
|
Style Transfer (Q)
|
96% |
361325
466.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67258
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99788
3.68 KIPS |
|
|
Text Classification (SP)
|
99% |
5921
7.90 KIPS |
|
|
Text Classification (HP)
|
100% |
9813
13.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9829
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18771
323.3 IPS |
|
|
Machine Translation (Q)
|
98% |
19376
334.8 IPS |
