MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
16112
Single Precision Score
20334
Half Precision Score
18793
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | beret |
| Upload Date | April 09 2025 01:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.83 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7263
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
8241
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
7503
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16208
262.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17026
276.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16137
261.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66444
77.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
69865
81.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
67452
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
7467
592.3 IPS |
|
|
Object Detection (HP)
|
100% |
7928
628.8 IPS |
|
|
Object Detection (Q)
|
92% |
7156
571.2 IPS |
|
|
Face Detection (SP)
|
100% |
26670
316.9 IPS |
|
|
Face Detection (HP)
|
100% |
30803
366.0 IPS |
|
|
Face Detection (Q)
|
100% |
24671
293.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33018
254.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35152
270.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
31781
248.5 IPS |
|
|
Style Transfer (SP)
|
100% |
145109
186.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162248
208.6 IPS |
|
|
Style Transfer (Q)
|
96% |
156965
202.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22355
825.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23298
860.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20169
744.7 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4987
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4996
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7619
131.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7583
131.0 IPS |
