MacBook Pro (16-inch, 2024)
Geekbench AI Score
5900
Single Precision Score
36571
Half Precision Score
49874
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 09:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
16821
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
21570
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23046
373.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31888
516.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17971
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122417
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229944
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
19312
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24001
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5242
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
44437
528.0 IPS |
|
|
Face Detection (Q)
|
100% |
63534
754.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8877
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103557
797.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179079
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30637
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231928
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320105
413.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48587
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77301
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6215
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16029
276.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16201
280.0 IPS |
