MacBook Pro (16-inch, 2024)
Geekbench AI Score
23700
Single Precision Score
26294
Half Precision Score
24358
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | August 12 2025 06:50 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10418
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
10780
2.00 KIPS |
|
|
Image Classification (Q)
|
96% |
9499
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23327
378.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24147
391.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22915
371.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
108183
126.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
109928
128.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
106475
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
9662
766.4 IPS |
|
|
Object Detection (HP)
|
100% |
10503
833.1 IPS |
|
|
Object Detection (Q)
|
92% |
9689
773.4 IPS |
|
|
Face Detection (SP)
|
100% |
40591
482.3 IPS |
|
|
Face Detection (HP)
|
100% |
44313
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
36781
437.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45770
352.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48425
373.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
44020
343.8 IPS |
|
|
Style Transfer (SP)
|
100% |
227662
292.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237398
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
229104
295.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31537
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31905
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27441
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5272
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5309
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5638
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6135
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6061
104.7 IPS |
