MacBook Pro (16-inch, 2024)
Geekbench AI Score
5941
Single Precision Score
36929
Half Precision Score
49731
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nithinmohantk |
| Upload Date | June 20 2025 12:35 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
17401
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21712
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23860
386.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31944
517.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19012
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123403
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231174
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.5 IPS |
|
|
Object Detection (HP)
|
100% |
19204
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23219
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
44770
532.0 IPS |
|
|
Face Detection (Q)
|
100% |
65786
781.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8903
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105543
813.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177163
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
36946
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
231230
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
295658
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45298
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78841
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6103
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16630
286.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16768
289.8 IPS |
