MacBook Pro (14-inch, 2024)
Geekbench AI Score
5166
Single Precision Score
30310
Half Precision Score
39437
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cconway |
| Upload Date | April 18 2025 09:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 4.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
11856
2.20 KIPS |
|
|
Image Classification (Q)
|
97% |
22968
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23396
379.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31711
514.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16007
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
87463
102.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
182586
214.0 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
14776
1.17 KIPS |
|
|
Object Detection (Q)
|
91% |
14403
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
44532
529.1 IPS |
|
|
Face Detection (Q)
|
100% |
36746
436.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8391
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104893
808.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
179396
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
24770
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
182994
235.2 IPS |
|
|
Style Transfer (Q)
|
96% |
226370
292.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5928
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42545
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80267
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2833
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3703
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9895
170.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10714
185.2 IPS |
