MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
14815
Single Precision Score
16544
Half Precision Score
15481
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 03:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 2.78 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7492
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8027
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6958
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15555
252.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16675
270.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17198
278.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
69393
81.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
79236
92.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
72796
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
5781
458.5 IPS |
|
|
Object Detection (HP)
|
100% |
6001
476.0 IPS |
|
|
Object Detection (Q)
|
91% |
6779
541.7 IPS |
|
|
Face Detection (SP)
|
100% |
28477
338.4 IPS |
|
|
Face Detection (HP)
|
100% |
31523
374.6 IPS |
|
|
Face Detection (Q)
|
100% |
24465
290.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34787
268.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37635
290.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
32152
251.3 IPS |
|
|
Style Transfer (SP)
|
100% |
172876
222.2 IPS |
|
|
Style Transfer (HP)
|
100% |
195495
251.3 IPS |
|
|
Style Transfer (Q)
|
96% |
179423
231.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23631
872.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24956
921.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20537
758.3 IPS |
|
|
Text Classification (SP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1210
20.9 IPS |
