Mac16,9
Geekbench AI Score
6008
Single Precision Score
36566
Half Precision Score
49912
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | November 04 2025 07:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (HP)
|
100% |
16709
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
20809
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22490
364.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31841
516.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18206
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122805
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229078
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
19504
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24717
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
44136
524.4 IPS |
|
|
Face Detection (Q)
|
100% |
63143
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9075
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103663
798.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
175267
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31762
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232391
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
322942
416.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49147
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78531
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5650
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6522
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15915
274.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16130
278.8 IPS |
