MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4774
Single Precision Score
29629
Half Precision Score
32818
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 14 2025 01:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1511
280.9 IPS |
|
|
Image Classification (HP)
|
100% |
15873
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
17230
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21648
350.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27217
441.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16681
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120386
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118341
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
16521
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16690
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
38566
458.3 IPS |
|
|
Face Detection (Q)
|
100% |
49293
585.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7233
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101220
779.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
116420
910.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30524
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
215898
277.5 IPS |
|
|
Style Transfer (Q)
|
96% |
209478
270.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37537
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51394
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5011
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4821
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4796
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4813
82.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5254
90.8 IPS |
