MacBook Pro (14-inch, 2024)
Geekbench AI Score
5810
Single Precision Score
37260
Half Precision Score
49932
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 08 2026 02:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2166
402.7 IPS |
|
|
Image Classification (HP)
|
100% |
17582
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21741
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23561
381.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31841
516.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17349
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122493
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230779
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
19716
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23912
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5068
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
44377
527.3 IPS |
|
|
Face Detection (Q)
|
100% |
62557
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8836
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109866
846.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176137
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30570
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237422
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
324767
419.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48306
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78425
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16336
281.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16390
283.2 IPS |
