MacBook Pro (14-inch, 2024)
Geekbench AI Score
5782
Single Precision Score
39697
Half Precision Score
54590
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 19 2026 09:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2167
403.1 IPS |
|
|
Image Classification (HP)
|
100% |
20205
3.76 KIPS |
|
|
Image Classification (Q)
|
97% |
27558
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24127
391.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
34701
562.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17385
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
124869
145.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
235846
276.4 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
22541
1.79 KIPS |
|
|
Object Detection (Q)
|
91% |
27398
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
45610
542.0 IPS |
|
|
Face Detection (Q)
|
100% |
65797
781.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8751
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
115243
887.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
185092
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
30411
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
239677
308.1 IPS |
|
|
Style Transfer (Q)
|
96% |
332848
429.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7109
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52235
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88743
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5933
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
18846
324.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18838
325.5 IPS |
