MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4802
Single Precision Score
7580
Half Precision Score
5965
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jschmitt3 |
| Upload Date | March 15 2025 04:39 PM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
2392
444.9 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16753
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28851
33.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21817
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2188
174.4 IPS |
|
|
Face Detection (SP)
|
100% |
4076
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
6585
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3926
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7343
56.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12968
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8889
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30504
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43196
55.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33168
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7819
288.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5116
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4714
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4862
83.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7097
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6979
120.6 IPS |
