MacBook Pro (14-inch, 2024)
Geekbench AI Score
5501
Single Precision Score
37304
Half Precision Score
50436
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 08:21 PM |
| Views | 3 |
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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
17487
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22363
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23360
378.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33458
542.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16359
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121392
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
227794
267.0 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
20440
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24450
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
44169
524.8 IPS |
|
|
Face Detection (Q)
|
100% |
62690
744.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8159
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108954
839.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176702
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
28774
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234972
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
327590
422.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6965
257.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49658
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79243
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16427
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16187
279.7 IPS |
