Mac16,9
Geekbench AI Score
6037
Single Precision Score
36624
Half Precision Score
49870
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | KipR |
| Upload Date | October 15 2025 09:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2195
408.2 IPS |
|
|
Image Classification (HP)
|
100% |
17351
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21565
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23075
374.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32104
520.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18456
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122540
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228183
267.4 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
19221
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23606
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5348
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
44086
523.8 IPS |
|
|
Face Detection (Q)
|
100% |
63366
752.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103788
799.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175519
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31683
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230946
296.9 IPS |
|
|
Style Transfer (Q)
|
96% |
319919
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47684
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79961
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6692
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16141
278.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16023
276.9 IPS |
