MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4792
Single Precision Score
31045
Half Precision Score
34292
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (HP)
|
100% |
16955
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
18345
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21985
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27164
440.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16646
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119975
140.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
119270
139.8 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
18998
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
18742
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
38718
460.1 IPS |
|
|
Face Detection (Q)
|
100% |
49521
588.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106471
820.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
125118
978.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30878
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
221380
284.6 IPS |
|
|
Style Transfer (Q)
|
96% |
211599
273.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5908
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44084
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52991
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5018
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4740
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5263
91.0 IPS |
