MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
12754
Single Precision Score
13492
Half Precision Score
4362
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | higginsrob |
| Upload Date | November 14 2025 03:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.01 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6616
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7040
1.31 KIPS |
|
|
Image Classification (Q)
|
97% |
5460
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13146
213.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13806
223.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13725
222.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
65450
76.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
69480
81.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62317
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
6719
533.0 IPS |
|
|
Object Detection (HP)
|
100% |
7012
556.2 IPS |
|
|
Object Detection (Q)
|
92% |
5955
475.3 IPS |
|
|
Face Detection (SP)
|
100% |
23204
275.7 IPS |
|
|
Face Detection (HP)
|
100% |
25597
304.1 IPS |
|
|
Face Detection (Q)
|
100% |
19275
229.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
31668
244.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33804
260.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
216.6 IPS |
|
|
Style Transfer (SP)
|
100% |
141284
181.6 IPS |
|
|
Style Transfer (HP)
|
100% |
157683
202.7 IPS |
|
|
Style Transfer (Q)
|
96% |
144273
186.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21620
798.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22300
823.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16982
627.1 IPS |
|
|
Text Classification (SP)
|
100% |
544
725.9 IPS |
|
|
Text Classification (HP)
|
100% |
657
876.7 IPS |
|
|
Text Classification (Q)
|
93% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2113
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2181
37.7 IPS |
