MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19761
Single Precision Score
22252
Half Precision Score
20956
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8206
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8767
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
8031
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19569
317.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20362
330.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19926
323.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
88140
102.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
96528
112.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
92755
108.6 IPS |
|
|
Object Detection (SP)
|
100% |
7429
589.3 IPS |
|
|
Object Detection (HP)
|
100% |
8005
634.9 IPS |
|
|
Object Detection (Q)
|
92% |
7892
630.0 IPS |
|
|
Face Detection (SP)
|
100% |
32820
390.0 IPS |
|
|
Face Detection (HP)
|
100% |
37312
443.3 IPS |
|
|
Face Detection (Q)
|
100% |
31072
369.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38465
296.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41186
317.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37561
293.4 IPS |
|
|
Style Transfer (SP)
|
100% |
183109
235.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203841
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
198399
256.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24585
907.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24980
922.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21586
797.1 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5238
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5340
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5328
92.1 IPS |
