MacBook Pro (16-inch, 2024)
Geekbench AI Score
19695
Single Precision Score
22005
Half Precision Score
20273
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dani4477 |
| Upload Date | July 17 2025 04:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8624
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8916
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
8163
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18860
305.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20392
330.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18369
297.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
75159
87.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
80361
93.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
77846
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
7933
629.3 IPS |
|
|
Object Detection (HP)
|
100% |
8643
685.6 IPS |
|
|
Object Detection (Q)
|
92% |
7761
619.5 IPS |
|
|
Face Detection (SP)
|
100% |
32925
391.2 IPS |
|
|
Face Detection (HP)
|
100% |
34099
405.2 IPS |
|
|
Face Detection (Q)
|
100% |
27626
328.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39350
303.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41253
317.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37622
293.9 IPS |
|
|
Style Transfer (SP)
|
100% |
173882
223.5 IPS |
|
|
Style Transfer (HP)
|
100% |
188525
242.4 IPS |
|
|
Style Transfer (Q)
|
96% |
182774
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25272
933.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25483
941.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21752
803.2 IPS |
|
|
Text Classification (SP)
|
100% |
2993
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5315
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5658
97.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5676
98.1 IPS |
