MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4693
Single Precision Score
30210
Half Precision Score
32943
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:16 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% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
16496
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
17936
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21694
351.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26567
430.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16248
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119583
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118018
138.3 IPS |
|
|
Object Detection (SP)
|
100% |
1928
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
18408
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
17289
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
38644
459.2 IPS |
|
|
Face Detection (Q)
|
100% |
49510
588.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7200
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105859
815.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
115204
900.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30193
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
218772
281.2 IPS |
|
|
Style Transfer (Q)
|
96% |
208250
268.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5565
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38149
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51429
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4711
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5381
93.0 IPS |
