MacBook Pro (14-inch, 2024)
Geekbench AI Score
17155
Single Precision Score
19055
Half Precision Score
17685
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | platinum77 |
| Upload Date | April 01 2025 04:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8005
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8329
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
7512
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14541
235.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15299
248.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14477
234.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56623
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
58860
68.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57900
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
7469
592.4 IPS |
|
|
Object Detection (HP)
|
100% |
7744
614.2 IPS |
|
|
Object Detection (Q)
|
92% |
7048
562.6 IPS |
|
|
Face Detection (SP)
|
100% |
26430
314.0 IPS |
|
|
Face Detection (HP)
|
100% |
28744
341.5 IPS |
|
|
Face Detection (Q)
|
100% |
23187
275.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34874
268.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35685
274.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
34278
268.0 IPS |
|
|
Style Transfer (SP)
|
100% |
125550
161.4 IPS |
|
|
Style Transfer (HP)
|
100% |
135131
173.7 IPS |
|
|
Style Transfer (Q)
|
96% |
131033
169.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23495
867.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24446
902.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20855
770.1 IPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5706
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6028
104.2 IPS |
