MacBook Pro (14-inch, 2024)
Geekbench AI Score
5535
Single Precision Score
37233
Half Precision Score
52137
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shabbirh313 |
| Upload Date | May 17 2025 03:17 PM |
| Views | 5 |
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 (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
17885
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22993
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23084
374.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31661
513.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17739
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122213
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231064
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
19656
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24473
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
41824
497.0 IPS |
|
|
Face Detection (Q)
|
100% |
67351
800.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108954
839.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
178658
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26223
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234212
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300176
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46637
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81316
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7311
9.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5931
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16877
290.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16790
290.1 IPS |
