MacBook Pro (16-inch, 2024)
Geekbench AI Score
5617
Single Precision Score
37091
Half Precision Score
51018
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 01:26 AM |
| Views | 4 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
17517
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22861
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22709
368.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32223
522.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18246
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122253
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229270
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.1 IPS |
|
|
Object Detection (HP)
|
100% |
20345
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
23995
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4855
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
42594
506.1 IPS |
|
|
Face Detection (Q)
|
100% |
66202
786.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111271
857.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
178311
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27080
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232195
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296770
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46466
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78609
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5951
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6323
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6210
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16370
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16931
292.6 IPS |
