MacBook Pro (14-inch, 2024)
Geekbench AI Score
13663
Single Precision Score
15177
Half Precision Score
13582
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 17 2025 02:00 PM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6905
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7483
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6248
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10606
171.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11092
179.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11272
182.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
46226
53.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48263
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45713
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6728
533.7 IPS |
|
|
Object Detection (HP)
|
100% |
7147
566.9 IPS |
|
|
Object Detection (Q)
|
91% |
6091
486.7 IPS |
|
|
Face Detection (SP)
|
100% |
23854
283.4 IPS |
|
|
Face Detection (HP)
|
100% |
25121
298.5 IPS |
|
|
Face Detection (Q)
|
100% |
18787
223.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30754
236.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
32911
253.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
27198
212.6 IPS |
|
|
Style Transfer (SP)
|
100% |
105570
135.7 IPS |
|
|
Style Transfer (HP)
|
100% |
112821
145.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106943
138.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16910
624.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17053
629.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13796
509.4 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5219
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5305
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2609
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2724
47.1 IPS |
