MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4623
Single Precision Score
30738
Half Precision Score
33391
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | belias03 |
| Upload Date | September 29 2025 09:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.17 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1533
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
16660
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
18383
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21476
348.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26448
428.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14627
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122290
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121178
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
19733
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
19831
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
37160
441.5 IPS |
|
|
Face Detection (Q)
|
100% |
47115
559.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6971
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109218
841.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
126171
986.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28993
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226309
290.9 IPS |
|
|
Style Transfer (Q)
|
96% |
216354
279.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5821
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44425
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53610
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4730
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4522
78.1 IPS |
