MacBook Pro (14-inch, 2024)
Geekbench AI Score
15043
Single Precision Score
16890
Half Precision Score
15820
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Nuckell |
| Upload Date | November 28 2025 01:41 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7121
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7700
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
6806
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12292
199.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12896
209.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12327
199.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44508
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
49491
57.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47640
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
6820
540.9 IPS |
|
|
Object Detection (HP)
|
100% |
6863
544.4 IPS |
|
|
Object Detection (Q)
|
92% |
6439
514.0 IPS |
|
|
Face Detection (SP)
|
100% |
23707
281.7 IPS |
|
|
Face Detection (HP)
|
100% |
25959
308.5 IPS |
|
|
Face Detection (Q)
|
100% |
21785
258.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30229
232.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31916
245.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
28946
226.1 IPS |
|
|
Style Transfer (SP)
|
100% |
101965
131.1 IPS |
|
|
Style Transfer (HP)
|
100% |
112752
144.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110473
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16328
602.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17141
633.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15372
567.6 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5817
100.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6215
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6374
110.1 IPS |
