Mac17,7
Geekbench AI Score
29475
Single Precision Score
46237
Half Precision Score
42535
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 27 2026 11:27 AM |
| Views | 4 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10552
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
13422
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
11946
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28027
454.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
41906
679.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
37710
611.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
128737
150.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
329224
384.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
282986
331.7 IPS |
|
|
Object Detection (SP)
|
100% |
10508
833.5 IPS |
|
|
Object Detection (HP)
|
100% |
15048
1.19 KIPS |
|
|
Object Detection (Q)
|
94% |
14105
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
49860
592.4 IPS |
|
|
Face Detection (HP)
|
100% |
73151
869.2 IPS |
|
|
Face Detection (Q)
|
100% |
65576
779.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53191
409.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87996
678.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
79744
622.6 IPS |
|
|
Style Transfer (SP)
|
100% |
265116
340.8 IPS |
|
|
Style Transfer (HP)
|
100% |
552928
710.8 IPS |
|
|
Style Transfer (Q)
|
96% |
599982
774.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34906
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52649
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41933
1.55 KIPS |
|
|
Text Classification (SP)
|
99% |
6140
8.20 KIPS |
|
|
Text Classification (HP)
|
100% |
9853
13.2 KIPS |
|
|
Text Classification (Q)
|
93% |
9856
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
8211
141.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8681
149.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8315
143.7 IPS |
