MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19961
Single Precision Score
22031
Half Precision Score
20524
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 14 2025 01:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
8598
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8264
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
8033
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19771
320.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20830
337.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19396
314.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
91580
106.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
95639
111.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
91603
107.3 IPS |
|
|
Object Detection (SP)
|
100% |
7707
611.4 IPS |
|
|
Object Detection (HP)
|
100% |
8393
665.7 IPS |
|
|
Object Detection (Q)
|
92% |
7992
637.9 IPS |
|
|
Face Detection (SP)
|
100% |
32711
388.7 IPS |
|
|
Face Detection (HP)
|
100% |
34855
414.2 IPS |
|
|
Face Detection (Q)
|
100% |
29876
355.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
38355
295.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41690
321.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
37635
294.3 IPS |
|
|
Style Transfer (SP)
|
100% |
187601
241.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203555
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
197696
255.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24373
900.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25991
959.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22821
842.7 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4778
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4798
82.9 IPS |
