MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4727
Single Precision Score
29640
Half Precision Score
33006
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 01:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
16309
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
17572
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21677
351.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27324
442.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16274
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119682
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
117973
138.3 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
16806
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
17145
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
38145
453.2 IPS |
|
|
Face Detection (Q)
|
100% |
49929
593.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7126
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101070
778.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
118059
923.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30288
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
218677
281.1 IPS |
|
|
Style Transfer (Q)
|
96% |
211722
273.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37813
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50537
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4717
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4839
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5233
90.4 IPS |
