MacBook Pro (14-inch, 2024)
Geekbench AI Score
5670
Single Precision Score
37190
Half Precision Score
49530
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 17 2025 02:03 PM |
| Views | 65 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
17185
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
21172
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23152
375.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31972
518.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16113
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123982
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230490
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
19839
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23878
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
45846
544.8 IPS |
|
|
Face Detection (Q)
|
100% |
65456
777.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8755
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105835
815.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176647
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35384
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237483
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302702
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46992
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77010
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5183
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5839
100.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17057
293.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17073
295.0 IPS |
