MacBook Pro (14-inch, 2024)
Geekbench AI Score
5322
Single Precision Score
37518
Half Precision Score
50709
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GabrielBRRJ0 |
| Upload Date | June 21 2025 04:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
17935
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23296
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23486
380.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32724
530.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16853
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122334
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
228726
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
20550
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24108
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
45423
539.7 IPS |
|
|
Face Detection (Q)
|
100% |
56573
672.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112583
867.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
182184
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
24878
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238017
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302491
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5946
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46841
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81417
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2881
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6422
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5517
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16510
284.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16409
283.6 IPS |
