MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4451
Single Precision Score
32154
Half Precision Score
35373
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aerodinesh |
| Upload Date | July 09 2025 01:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
16731
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
18627
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1839
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22256
360.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27498
445.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16643
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119918
139.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119741
140.3 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
18608
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
18856
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3884
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
38783
460.8 IPS |
|
|
Face Detection (Q)
|
100% |
50569
600.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7099
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
102403
789.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
125667
982.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30042
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
220307
283.2 IPS |
|
|
Style Transfer (Q)
|
96% |
210391
271.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5933
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42484
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52992
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5150
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5012
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7428
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7469
129.1 IPS |
