MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4317
Single Precision Score
30470
Half Precision Score
33638
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | asto18089 |
| Upload Date | February 23 2025 09:43 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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 | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (HP)
|
100% |
15568
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
17063
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21919
355.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26410
428.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16619
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119566
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118389
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
16469
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
17684
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
38266
454.7 IPS |
|
|
Face Detection (Q)
|
100% |
49392
586.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99948
770.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
114304
893.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30391
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
215099
276.5 IPS |
|
|
Style Transfer (Q)
|
96% |
209373
270.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37503
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49433
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4643
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4674
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7167
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7199
124.4 IPS |
