Mac16,9
Geekbench AI Score
20529
Single Precision Score
23356
Half Precision Score
21760
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | September 04 2025 09:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9248
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
10133
1.88 KIPS |
|
|
Image Classification (Q)
|
96% |
9228
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20080
325.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20995
340.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20354
329.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
77348
90.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
88223
102.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
84757
99.3 IPS |
|
|
Object Detection (SP)
|
100% |
8841
701.3 IPS |
|
|
Object Detection (HP)
|
100% |
9328
739.9 IPS |
|
|
Object Detection (Q)
|
92% |
9011
719.2 IPS |
|
|
Face Detection (SP)
|
100% |
35935
427.0 IPS |
|
|
Face Detection (HP)
|
100% |
39016
463.6 IPS |
|
|
Face Detection (Q)
|
100% |
32318
384.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41322
318.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44809
345.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
40471
316.1 IPS |
|
|
Style Transfer (SP)
|
100% |
184294
236.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202520
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
197068
254.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26088
963.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26683
985.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22951
847.5 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5447
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5358
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5149
89.0 IPS |
