MacBook Pro (14-inch, 2024)
Geekbench AI Score
4854
Single Precision Score
36551
Half Precision Score
51980
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | November 08 2025 04:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
17453
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25606
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21939
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29098
471.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9889
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122332
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231465
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
18381
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26345
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
65667
780.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8699
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99629
767.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167695
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21667
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234606
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296379
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49225
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84288
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6234
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6229
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16738
288.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18497
319.7 IPS |
