MacBook Pro (14-inch, 2024)
Geekbench AI Score
20938
Single Precision Score
23760
Half Precision Score
22016
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Sly-RG |
| Upload Date | April 23 2025 06:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
9048
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
9548
1.78 KIPS |
|
|
Image Classification (Q)
|
96% |
8833
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20134
326.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21042
341.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19691
319.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
79910
93.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
82819
96.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
80501
94.3 IPS |
|
|
Object Detection (SP)
|
100% |
8315
659.6 IPS |
|
|
Object Detection (HP)
|
100% |
9616
762.7 IPS |
|
|
Object Detection (Q)
|
92% |
8508
679.1 IPS |
|
|
Face Detection (SP)
|
100% |
34399
408.7 IPS |
|
|
Face Detection (HP)
|
100% |
36032
428.1 IPS |
|
|
Face Detection (Q)
|
100% |
32140
381.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
41567
320.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
45954
354.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
41291
322.9 IPS |
|
|
Style Transfer (SP)
|
100% |
187221
240.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203036
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
198648
256.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27433
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28720
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24813
916.2 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6180
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6651
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6329
109.4 IPS |
