MacBook Pro (16-inch, 2024)
Geekbench AI Score
5913
Single Precision Score
36546
Half Precision Score
51172
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 01 2025 04:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
17534
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22461
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22993
372.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32640
529.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19080
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122292
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230680
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
20405
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
26837
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4710
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
43153
512.8 IPS |
|
|
Face Detection (Q)
|
100% |
64802
770.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8839
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110253
849.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
181336
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
36739
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233116
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297659
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45830
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79603
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5116
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5987
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16246
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16276
281.3 IPS |
