Mac17,7
Geekbench AI Score
26924
Single Precision Score
43349
Half Precision Score
40502
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jdklev |
| Upload Date | March 31 2026 04:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,7 |
| Model ID | Mac17,7 |
| Motherboard | Mac17,7 |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10415
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
13356
2.48 KIPS |
|
|
Image Classification (Q)
|
97% |
12163
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24655
399.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
38093
617.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
35359
573.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
107040
124.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
260956
304.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
259998
304.7 IPS |
|
|
Object Detection (SP)
|
100% |
9601
761.5 IPS |
|
|
Object Detection (HP)
|
100% |
15387
1.22 KIPS |
|
|
Object Detection (Q)
|
94% |
14020
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
43255
514.0 IPS |
|
|
Face Detection (HP)
|
100% |
65649
780.0 IPS |
|
|
Face Detection (Q)
|
100% |
59585
708.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
51153
394.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
83189
640.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
72532
566.3 IPS |
|
|
Style Transfer (SP)
|
100% |
230264
296.0 IPS |
|
|
Style Transfer (HP)
|
100% |
474564
610.1 IPS |
|
|
Style Transfer (Q)
|
96% |
528009
681.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30286
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50127
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38898
1.44 KIPS |
|
|
Text Classification (SP)
|
99% |
6021
8.04 KIPS |
|
|
Text Classification (HP)
|
99% |
9952
13.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10024
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
8165
140.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8872
152.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8517
147.2 IPS |
