MacBook Pro (16-inch, 2024)
Geekbench AI Score
5604
Single Precision Score
36304
Half Precision Score
48801
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 02:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
17130
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
22434
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22555
365.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31191
505.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18147
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122400
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229560
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
18829
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
23376
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4914
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
44192
525.1 IPS |
|
|
Face Detection (Q)
|
100% |
54435
646.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8855
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104443
804.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
176033
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26506
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232613
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295763
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45373
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77218
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6183
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16309
280.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16517
285.4 IPS |
