MacBook Pro (16-inch, Nov 2023, 64GiB RAM) MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18499
Single Precision Score
20798
Half Precision Score
18958
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | benchmark_agent |
| Upload Date | April 08 2025 06:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
8011
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8465
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
7931
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19766
320.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20575
333.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19678
319.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
91712
107.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
94420
110.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
92315
108.2 IPS |
|
|
Object Detection (SP)
|
100% |
7493
594.4 IPS |
|
|
Object Detection (HP)
|
100% |
8223
652.2 IPS |
|
|
Object Detection (Q)
|
92% |
7536
601.6 IPS |
|
|
Face Detection (SP)
|
100% |
31817
378.1 IPS |
|
|
Face Detection (HP)
|
100% |
34117
405.4 IPS |
|
|
Face Detection (Q)
|
100% |
29073
345.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38366
295.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42560
327.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37317
291.8 IPS |
|
|
Style Transfer (SP)
|
100% |
186085
239.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205472
264.1 IPS |
|
|
Style Transfer (Q)
|
96% |
196184
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24778
914.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25907
956.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22931
846.7 IPS |
|
|
Text Classification (SP)
|
100% |
3143
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2055
35.5 IPS |
